Remote Junior Data Scientist

Placements24; Kimberley; Hybrid; CAD 55,000 - 90,000; Full time

Job summary

Placements24 is seeking a Remote Junior Data Scientist to join a pioneering data analytics team. This entry-level position suits recent graduates with a strong quantitative background and a passion for uncovering insights from complex datasets.

You will collaborate with senior data scientists on data modeling, analysis, and visualization in a fully remote environment. The role emphasizes self-motivation, time management, and strong communication to relay findings to stakeholders across

Qualifications

• Masters or Bachelors in data science, statistics, CS or mathematics.
• Proficient in Python or R with data libraries.
• Strong grasp of statistics and ML concepts.
• Experience with data viz tools (Matplotlib/Seaborn/Tableau).
• SQL and basic cloud familiarity (AWS/Azure/GCP).

Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and implement statistical models and machine learning algorithms.
• Create data visualizations and dashboards to communicate findings to stakeholders.

Skills

Analytical thinking

Communication

Remote collaboration

Education

Bachelor's or Master's in Data Science/Statistics/CS/Math

Tools

Python

R

SQL

TensorFlow/PyTorch

Tableau

Job description

About the Role

Our client, a pioneering data analytics firm operating entirely remotely, is seeking a bright and analytical Remote Junior Data Scientist to join their innovative team. This position is perfectly suited for a recent graduate with a strong quantitative background and a passion for uncovering insights from complex datasets. You will work closely with senior data scientists, contributing to data modeling, statistical analysis, machine learning model development, and data visualization. The role requires strong programming skills, a solid understanding of statistical principles, and the ability to communicate findings effectively. As a fully remote role, we seek candidates who are self-motivated, possess excellent time management skills, and thrive in a collaborative virtual environment. This is a unique opportunity to develop your career in data science with a leading remote-first company, contributing to impactful data-driven solutions.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and implement statistical models and machine learning algorithms.
• Evaluate and optimize model performance.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand data needs and business challenges.
• Assist in the design and execution of A/B tests and other experiments.
• Stay abreast of the latest advancements in data science and machine learning.
• Document methodologies, code, and results clearly and concisely.
• Contribute to the development of data-driven products and strategies.

Requirements

• A Master's or Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Strong programming skills in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Solid understanding of statistical concepts and machine learning algorithms.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with SQL and database management.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills for effective remote teamwork.
• Ability to work independently and manage multiple projects simultaneously.
• A genuine curiosity and passion for data and its applications.

Benefits

Our client offers a competitive salary, a completely remote working model, and significant opportunities for professional growth, including access to advanced training, conferences, and mentorship programs. You will be part of a highly collaborative and innovative team, working on challenging and impactful projects. We prioritize a healthy work-life balance, offering flexible working hours and a supportive virtual work culture. This role provides a unique chance to advance your data science career without geographical constraints, working with cutting-edge technologies and contributing to data-driven decision-making for a diverse clientele.